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Public sector entities are increasingly encouraged to implement enterprise risk management (ERM) to streamline procedures, create efficiencies, and safeguard delivery of public services. But, the ERM practices – as applied – adopt a confined concept of risk that subdues uncertain and unknown aspects of complex and (potentially) vast public exposures. We suggest that the management of uncertainty as opposed to risk – particularly in the public sector – requires different leadership approaches, organizing structures, and strategic response capabilities. It is argued that public institutions pursue distinctly different purposes and face unique challenges compared to commercial enterprise, which makes wholesale applications of ERM difficult in public sector entities. So, adoption of ERM in public settings requires a significant modification to the approach. This effort can take inspiration from strategic risk leadership in dealing with the complexity of public exposures vying for long-term solutions for society where successful outcomes are measured as sustainable resilience.

Digital health solutions, specifically direct-to-consumer platforms, have been touted to make care accessible and convenient for patients. The aim of this article is to evaluate patients' reported reasons for choosing a platform for the treatment of hair loss and their experience. This platform (Keeps) is focused exclusively on the treatment of male pattern hair loss (MPHL) with approved medications such as oral finasteride and topical minoxidil.In order to evaluate patients' motivations to choose the platform and their experience, we administered two distinct questionnaires, with a total of 8983 respondents.The results showed that patients on the platform report positive health outcomes at approximately 6 months, as 81% of respondents report hair regrowth or cessation of hair loss, and 91% never or rarely miss their medication. Additionally, the platform is expanding the market through education and awareness, as nearly 1 in 3 new patients, mostly in their 20s and early 30s, had never considered treating their hair loss before learning about this virtual care model.Such a model provides further insights into how digitally enabled care focused on a chronic condition, backed by quality and evidence-based initiatives, can expand access and improve care for androgenetic alopecia (AGA).

Whilst the value of lived experience in the helping process is recognised in a range of settings including mental health, disability and substance addiction, the understanding of therole of lived experience of incarceration in the helping process is less developed. This is relevant to the question of gatekeeping into the social work profession. A heightened focus on risk has resulted in limited opportunity for those with a history of incarceration from studying and practising social work. Little is known about how a lived experience of incarceration influences the helping relationship, and in turn we know very little about the implications for service users of having reduced access to social workers who have experienced imprisonment. To better understand the current state of knowledge regarding the role of lived experience of incarceration in the helping process, a scoping review of the literature was undertaken. A thematic analysis of sixty-one articles published before 2019 was undertaken and consensus was achieved on four themes: stigma and discrimination; trust and authenticity; role modelling and hope; and, power and agency. The findings include recommendations for more nuanced policy regarding the restriction of those with a lived experience of incarceration entering the social work profession.

International audience; This paper considers the data-driven modeling of a class of phase-controlled wireless power transfer (WPT) systems, where the load may vary slowly with respect to time. The dominant mode analysis suggests that a model of the Hammerstein type, which consists of a static nonlinearity function, followed by a linear time-varying model with a pure time delay, is the best structure to describe the input-output relationship of the system. On this basis, we derive a small-signal model that is linear in the variables in order to aid control design and allow the associated model parameters to be estimated from sampled input-output data using the standard refined instrumental variable (RIV) method. In the presence of a time-varying load, however, the plant model parameters may not be correctly estimated if the load response is not removed. In order to address this problem, a new recursive RIV method is proposed, in which an effective technique is introduced to track the load response, so allowing the parameters and time delay of the time-varying model to be accurately estimated. The effectiveness of the proposed method is verified by applying it to both a simulation model and a laboratory system.

This paper develops a disturbance observer-based repetitive control system using a non-minimal state-space realization in which all state variables are chosen to correspond to the system’s input and output variables and their past values. To enable the repetitive control system to follow a periodic reference signal or reject a disturbance signal of the same nature, a disturbance observer is used to estimate an input disturbance that contains the same frequency characteristics. This new approach differs from previously published design in repetitive control because it separates the design procedure into two simple tasks: first, stabilization by the design of a non-minimal state feedback control; and second, to independently incorporate the periodic modes via the estimation of the disturbance. Moreover, because this design ensures the stability of the disturbance observer, its implementation contains an anti-windup mechanism when the control signal reaches its maximum or minimum value. Without the complication of an observer for the state variables, the detection of a disturbance occurs earlier and the repetitive controller acts much faster than in the case of minimal state controller incorporating an observer. This leads to considerable performance improvement, with excellent disturbance rejection achieved with smaller control signal variations.